WMAP
Weighted Meta-Analysis with Pseudo-Populations
Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
rolling linux/jammy R-4.5 | WMAP_1.2.0.tar.gz |
184.3 KiB |
1.2.0 |
rolling linux/noble R-4.5 | WMAP_1.2.0.tar.gz |
184.2 KiB |
1.2.0 |
rolling source/ R- | WMAP_1.2.0.tar.gz |
71.0 KiB |
1.2.0 |
latest linux/jammy R-4.5 | WMAP_1.2.0.tar.gz |
184.3 KiB |
1.2.0 |
latest linux/noble R-4.5 | WMAP_1.2.0.tar.gz |
184.2 KiB |
1.2.0 |
latest source/ R- | WMAP_1.2.0.tar.gz |
71.0 KiB |
1.2.0 |
2026-04-26 source/ R- | WMAP_1.2.0.tar.gz |
71.0 KiB |
1.2.0 |
2026-04-23 source/ R- | WMAP_1.2.0.tar.gz |
71.0 KiB |
1.2.0 |
2026-04-09 windows/windows R-4.5 | WMAP_1.2.0.zip |
187.0 KiB |
1.1.0 |
2025-04-20 source/ R- | WMAP_1.1.0.tar.gz |
71.6 KiB |